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Field
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Engineering, Neuroscience, or related fields. Tasks to be performed: Collection of experimental data in humans, development of neural decoding algorithms from bioelectrical signals, and development of a
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assurance/insurance frameworks, including algorithmic insurance contracts, parametric insurance structures, and data-driven risk quantification methods (e.g., conformal prediction and inverse conformal
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the research project - “Advancing generative AI algorithms for haptic rendering: bridging human-computer and human-robot interactions”. Qualifications Applicants should have a doctoral degree or an equivalent
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efficient exploration of this multidimensional space. Working with the colleagues at the University of Liverpool, you will also help develop process¿optimisation algorithms toward autonomous operation and
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to cyber security, including but not limited to embedded/hardware security, security of AI systems, (post-quantum) cryptography, quantum algorithms, confidential computing/trusted execution
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. The successful candidate will assist in developing novel algorithms and integrating them into robotic platforms, helping to push the boundaries of embodied intelligence in both research and practical deployment
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learning algorithms. We combine statistical methods with online reinforcement learning algorithms to develop reinforcement learning algorithms and inferential tools. The successful applicant will be expected
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efficient exploration of this multidimensional space. Working with the colleagues at the University of Liverpool, you will also help develop process‑optimisation algorithms toward autonomous operation and
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. Developing and applying state‑of‑the‑art artificial intelligence and machine learning (AI/ML) algorithms to discover robust prognostic and predictive biomarkers, and design clinically actionable treatment
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to cyber security, including but not limited to embedded/hardware security, security of AI systems, (post-quantum) cryptography, quantum algorithms, confidential computing/trusted execution